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发明公开
CN105678439A 基于BP神经网络的输电线路动态增容运行风险评估方法 无效 - 驳回

基于BP神经网络的输电线路动态增容运行风险评估方法
摘要：
本发明公开了一种基于BP神经网络的输电线路动态增容运行风险评估方法，属于电力系统自动化技术领域。本发明首先对输电线路的电流数据和输电线路现场的微气候数据，然后建立基于BP神经网络的气象数据预测模型。利用该模型可以预测出未来一小时内的气象数据。然后利用预测出的气象数据和电流等参数，计算出线路增容后的未来一小时内的导线温度分布。把导线温度分布代入到风险评估公式，即可计算出导线增容运行后的风险指标。本发明可以更为简便地评估增容后输电线路的运行风险，为输电线路的安全运行提供参考依据。
摘要（英）：

The invention discloses a power transmission line dynamic capacity-increasing operation risk assessment method based on a BP neural network. The power transmission line dynamic capacity-increasing operation risk assessment method belongs to the technical field of power system automation. The power transmission line dynamic capacity-increasing operation risk assessment method comprises the steps of acquiring current data of a power transmission line and microclimate data of a power transmission line site, and then establishing a meteorological data prediction model based on the BP neural network. By utilizing the meteorological data prediction model, meteorological data within the next hour can be predicted, lead wire temperature distribution within the next hour after line capacity increase can be calculated by utilizing parameters such as the predicted meteorological data and current data, and a risk index after capacity-increasing operation of a lead wire can be calculated by substituting the lead wire temperature distribution into a risk assessment formula. The power transmission line dynamic capacity-increasing operation risk assessment method can be used for assessing operation risk of the power transmission line after capacity increase more simply and conveniently, and provides reference basis for safe operation of the power transmission line.

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